# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for data input for speech commands."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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import tensorflow as tf
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from tensorflow.contrib.framework.python.ops import audio_ops as contrib_audio
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from tensorflow.examples.speech_commands import wav_to_features
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from tensorflow.python.framework import test_util
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from tensorflow.python.platform import test
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class WavToFeaturesTest(test.TestCase):
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def _getWavData(self):
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with self.cached_session() as sess:
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sample_data = tf.zeros([32000, 2])
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wav_encoder = contrib_audio.encode_wav(sample_data, 16000)
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wav_data = self.evaluate(wav_encoder)
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return wav_data
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def _saveTestWavFile(self, filename, wav_data):
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with open(filename, "wb") as f:
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f.write(wav_data)
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def _saveWavFolders(self, root_dir, labels, how_many):
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wav_data = self._getWavData()
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for label in labels:
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dir_name = os.path.join(root_dir, label)
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os.mkdir(dir_name)
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for i in range(how_many):
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file_path = os.path.join(dir_name, "some_audio_%d.wav" % i)
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self._saveTestWavFile(file_path, wav_data)
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@test_util.run_deprecated_v1
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def testWavToFeatures(self):
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tmp_dir = self.get_temp_dir()
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wav_dir = os.path.join(tmp_dir, "wavs")
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os.mkdir(wav_dir)
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self._saveWavFolders(wav_dir, ["a", "b", "c"], 100)
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input_file_path = os.path.join(tmp_dir, "input.wav")
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output_file_path = os.path.join(tmp_dir, "output.c")
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wav_data = self._getWavData()
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self._saveTestWavFile(input_file_path, wav_data)
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wav_to_features.wav_to_features(16000, 1000, 10, 10, 40, True, "average",
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input_file_path, output_file_path)
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with open(output_file_path, "rb") as f:
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content = f.read()
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self.assertTrue(b"const unsigned char g_input_data" in content)
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@test_util.run_deprecated_v1
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def testWavToFeaturesMicro(self):
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tmp_dir = self.get_temp_dir()
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wav_dir = os.path.join(tmp_dir, "wavs")
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os.mkdir(wav_dir)
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self._saveWavFolders(wav_dir, ["a", "b", "c"], 100)
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input_file_path = os.path.join(tmp_dir, "input.wav")
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output_file_path = os.path.join(tmp_dir, "output.c")
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wav_data = self._getWavData()
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self._saveTestWavFile(input_file_path, wav_data)
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wav_to_features.wav_to_features(16000, 1000, 10, 10, 40, True, "micro",
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input_file_path, output_file_path)
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with open(output_file_path, "rb") as f:
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content = f.read()
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self.assertIn(b"const unsigned char g_input_data", content)
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if __name__ == "__main__":
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test.main()
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